lmms (1.3.3)

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Linear Mixed Effect Model Splines for Modelling and Analysis of Time Course Data.


Linear Mixed effect Model Splines ('lmms') implements linear mixed effect model splines for modelling and differential expression for highly dimensional data sets: investNoise() for quality control and filterNoise() for removing non-informative trajectories; lmmSpline() to model time course expression profiles and lmmsDE() performs differential expression analysis to identify differential expression between groups, time and/or group x time interaction.

Maintainer: Jasmin Straube
Author(s): Jasmin Straube [aut, cre], Kim-Anh Le Cao [aut], Emma Huang [aut], Dominique Gorse [ctb]

License: GPL (>= 2)

Uses: gdata, ggplot2, gplots, gridExtra, lmeSplines, nlme, reshape2
Reverse suggests: dynOmics

Released almost 4 years ago.

2 previous versions



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